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Software fault diagnosis model of AUV based on Bayesian Networks and its simplified method

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2 Author(s)
Chang-ting Shi ; Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China ; Ru-bo Zhang

According to the uncertainty broadly existed in fault diagnosis of AUV software system, this paper presents a Bayesian Networks diagnosis model with three layers based on CME. On the basis of that, the paper also presents a cutting irrelative node method based on task context according to AUV's specific nature, this method predigests network, reduces the complexity of consequence calculation, and enhances the ability of real-time fault diagnosis effectively.

Published in:

Intelligent Control and Automation (WCICA), 2011 9th World Congress on

Date of Conference:

21-25 June 2011